The Impact of Fixed and Moving Scatterers on the Statistics of MIMO Vehicle-to-Vehicle Channels

Chelli, Ali; Pätzold, Matthias

doi:10.1109/vetecs.2009.5073879

Cited by 24 publications

(10 citation statements)

References 9 publications

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“…However, their underlying assumption of all scatterers is being uniformly distributed on regular geometries, which does not agree with the realistic measurements. In [13,14], the authors investigated the fixed and moving scatterers on the statistics of MIMO V2V channels under non-line-of-sight (NLoS) scenarios where both the single-and double-bounced components were taken into account, which is more universal in the real-world scattering circumstances. The drawback compared to RS-GBSMs is that closed-form expressions generally cannot be derived, but there are a number of important benefits: the environment can be easily changed and easily reproduce realistic temporal channel variations [12].…”

Section: Introductionmentioning

confidence: 99%

Statistical Characterization of Novel 3D Cluster-Based MIMO Vehicle-to-Vehicle Models for Urban Street Scattering Environments

Chen

Fang

Sun

et al. 2018

International Journal of Antennas and Propagation

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We develop a novel three-dimensional (3D) cluster-based channel model for vehicle-to-vehicle (V2V) communications under the scenarios of urban street scattering environments. The proposed model combines the flexibility of geometrical channel models with the existing state-of-the-art 3D V2V models. To provide an accurate representation of specific locations and realistic V2V fading environments in a computationally manageable fashion, all clusters are divided into three groups of use cases including "ahead," "between," and "behind" clusters according to the relative locations of clusters. Using the proposed V2V model, we first derive the closed-form expressions of the channel impulse response (CIR), including the line-of-sight (LoS) components and cluster components. Subsequently, for three categories of clusters, the corresponding statistical properties of the reference model are studied. We additionally derive the expressions of the 3D space-time correlation function (STCF), the autocorrelation function (ACF), and 2D STCF. Finally, comparisons with on-road measurement data and numerical experiments demonstrate the validity and effectiveness of the proposed 3D cluster-based V2V model.

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Section: Introductionmentioning

confidence: 99%

Statistical Characterization of Novel 3D Cluster-Based MIMO Vehicle-to-Vehicle Models for Urban Street Scattering Environments

Chen

Fang

Sun

et al. 2018

International Journal of Antennas and Propagation

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“…The models in M2M communication environment can be traced back from two-dimensional (2D) [5][6][7] and three-dimensional (3D) [8][9][10][11] fixed scattering models to 2D [12][13][14][15][16][17] and 3D [18][19][20] moving scattering models. The M2M channel models with the assumption of stationary scatterers have been proposed in [5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

“…Recently, modeling of M2M/V2V channels in the presence of moving scatterers has been discussed in [12][13][14][15][16][17][18][19][20]. A nonstationary multiple-input-multiple-output (MIMO) V2V channel model based on the geometrical street model was derived, and the impact of fixed and moving clusters of scatterers on the channel statistics was studied in [12,15].…”

Section: Introductionmentioning

confidence: 99%

“…A nonstationary multiple-input-multiple-output (MIMO) V2V channel model based on the geometrical street model was derived, and the impact of fixed and moving clusters of scatterers on the channel statistics was studied in [12,15]. A single-input-single-output (SISO) V2V channel model was derived assuming a typical propagation scenario in which the local scatterers without specific constraints of positions 2 Mobile Information Systems moved with random velocities in random directions in [13,14].…”

Section: Introductionmentioning

confidence: 99%

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Three-Dimensional Vehicle-to-Vehicle Channel Modeling with Multiple Moving Scatterers

Zeng

Jian

et al. 2017

Mobile Information Systems

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Connected vehicles have received much attention in recent years due to their significant societal benefit and commercial value. However, a suitable channel model for vehicle-to-vehicle (V2V) communications is difficult to build due to the dynamic communication environment. In this paper, a three-dimensional (3D) geometrical propagation model that includes line-of-sight (LoS), single bounced (SB), and multiple bounced (MB) rays is proposed. Each of multiple scatterers in the model is moving with a random velocity in a random direction. Based on the geometrical propagation model, a generalized 3D reference model for narrowband multiple-input-multiple-output (MIMO) V2V multipath fading channels is developed. The corresponding spacetime correlation functions (ST-CFs), time correlation functions (T-CFs), and space correlation functions (S-CFs) are analytically investigated and numerically simulated in terms of various factors. Several notable ST-CFs for V2V and fixed-to-mobile (F2M) communications become the special cases of ST-CFs of the proposed model by adjusting the corresponding channel parameters. Finally, the theoretical results of the space-Doppler power spectral density (SD-PSD) are compared with the available measured data. The close agreements between the theoretical and measured SD-PSD curves confirm the utility and generality of the proposed model.

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“…Since the influence of random displacements of scatterers on wideband (WB) and ultra-wideband (UWB) multiple-input multiple-output (MIMO) non-isotropic outdoor wireless channels has not been studied in a closed-form in literature, the contribution of this paper consists in developing a model which realistically predicts the impact of moving scatterers on these types of channels [1][2][3]. This topic is of great concern since UWB technology in combination with MIMO systems finds more and more applications in areas such as location tracking for outdoor emergency services [4,5], location tracking and sensor for mobile outdoor users [6], medical [7] and electronic warfare applications [3].…”

Section: Introductionmentioning

confidence: 99%

Effects of Non-Fixed Scatterers' Random Movements on Ultra-Wideband Miso Channels

Pistea¹

2014

PIER C

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Abstract-Most wireless channel models assume fixed scatterers with specific geometrical distributions in the propagation environment. In reality most scatterers move with random movements on the azimuth plane. In this paper, the effects of such scatterers' random movements on the cross-correlation function (CCF) of wideband (WB) and ultra-wideband (UWB) non-isotropic multiple-input multiple-output (MIMO) channels are characterized. The CCF of WB/UWB MIMO channels is calculated not by assuming a specific geometry for scatterers in space but based on specific mathematical relationships between physical parameters of the wireless channel along with appropriate assumptions on their probability density functions (pdfs). The CCF is used to determine the influence of moving scatterers, in a stationary scenario, on the power spectral density (PSD) and the coherence time of WB and UWB multiple-input single-output (MISO) channels, as a particular case of MIMO channels. Unlike the fixed scatterers case, the PSD is not a band-limited process, it decays with frequency.

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The Impact of Fixed and Moving Scatterers on the Statistics of MIMO Vehicle-to-Vehicle Channels

Cited by 24 publications

References 9 publications

Statistical Characterization of Novel 3D Cluster-Based MIMO Vehicle-to-Vehicle Models for Urban Street Scattering Environments

Statistical Characterization of Novel 3D Cluster-Based MIMO Vehicle-to-Vehicle Models for Urban Street Scattering Environments

Three-Dimensional Vehicle-to-Vehicle Channel Modeling with Multiple Moving Scatterers

Effects of Non-Fixed Scatterers' Random Movements on Ultra-Wideband Miso Channels

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